Health forecasts based on Big Data

Discover our platform for research

An optimised predictive model

Prepared for the analysis of real data streams

Integrated

Merging mobility, exposure and incidence

Open

Open-source and easy deployment in the cloud

Scalable

Independent of local resources

Extensible

Flexible design for the integration of new data and models

In late stages of development

Follow MePreCiSa progress

1

Definition of necessary requirements.

2

Development of mobility indicators.

3

Design and development of the different use cases.

4

Platform design.

5

Deployment of cloud analysis services.

A platform tested with real data

Explore our use cases

Air quality

We combine population mobility data with exposure to different levels of air quality and the incidence of different diseases. This allows us to identify exposure sources that guide preventive measures.

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Epidemic spread

We expand the well-known incidence studies by community or municipality, incorporating population mobility data. These simulations allow us to identify and predict sources of infection in health emergencies, as well as identify containment measures.

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Sewage water

Wastewater epidemiology studies the presence and concentration of various biomarkers, such as viruses or bacteria, and represents a tool for public health surveillance. Integration of mobility data is crucial to understand the dynamics of quantified biomarkers in wastewater.

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Available in open source at no cost